At a Glance
- Tasks: Lead the design of a cutting-edge cloud-native data platform and drive innovative data solutions.
- Company: Join a top-tier risk management firm transforming enterprise data capabilities.
- Benefits: Enjoy a competitive salary, flexible schedule, and comprehensive benefits package.
- Other info: Collaborate with a motivated team in a dynamic, hybrid work environment.
- Why this job: Make a real impact on modernising data ecosystems with advanced technologies.
- Qualifications: 7+ years in data architecture with strong knowledge of insurance and cloud platforms.
The predicted salary is between 72000 - 88000 £ per year.
Are you a seasoned Data Architect with a passion for modernising complex data ecosystems?
Do you thrive in a dynamic, fast-paced environment where your expertise can shape the future of enterprise data platforms?
If so, this is your opportunity to make a significant impact with a world-renowned organisation based in the heart of London.
Our client, a top-tier risk management and insurance advisory firm operating across over 130 countries, is embarking on a transformative strategic initiative.
They are building and scaling a next-generation, cloud-native enterprise data ecosystem designed to revolutionise their data capabilities.
This ambitious project aims to modernise legacy data estates into scalable architectures like Data Lakehouse or Data Mesh, creating a secure, high-performance, and trusted data foundation.
The new platform will seamlessly integrate vast datasets from internal trading systems, London Market platforms, and third-party providers to enable advanced analytics, AI, and real-time decision-making.
Responsibilities
- Lead the design and implementation of a scalable, cloud-native data platform, serving as the technical authority and guiding the team through architectural decisions.
- Develop conceptual, logical, and physical data models that accurately represent complex insurance workflows, including risk placement, policy lifecycle, claims, and reinsurance.
- Architect and build robust data ingestion and integration pipelines (batch, streaming, API-based), ensuring high availability and performance.
- Drive platform engineering, leveraging modern cloud technologies (AWS, Snowflake, Databricks, Azure Synapse) to deliver scalable and reliable solutions.
- Collaborate closely with business stakeholders, data engineers, and analytics teams to translate industry needs into innovative technical solutions.
- Establish and maintain data governance, security, and compliance standards aligned with GDPR and industry best practices.
Requirements
- 7+ years of proven experience as a Data Architect, Lead Data Engineer, or senior technical role within a complex, global enterprise.
- Deep domain knowledge of the Insurance, Reinsurance, or Broking sectors, with a strong understanding of London Market operations, policy & claims lifecycle, and industry data standards such as ACORD.
- Hands-on experience designing and implementing modern data architectures on cloud platforms, especially AWS, Snowflake, Databricks, or Azure.
- Advanced programming skills in SQL, Python, or Scala.
- Extensive experience with data modelling methodologies, including Data Vault, dimensional, and 3NF models.
- Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders and executive leadership.
- Comfortable working onsite (hybrid) at the client’s central London office.
- We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About Us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services.
Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation.
A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & Dev Ops, application modernization and customer experience.
Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
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Big Data Architect employer: Grid Dynamics
Grid Dynamics is an exceptional employer, offering a dynamic work environment where innovation thrives. As a Senior C# / WPF Engineer, you'll engage in cutting-edge projects within a collaborative team, benefiting from a competitive salary, flexible schedules, and comprehensive professional development opportunities. Our commitment to employee growth, coupled with a strong emphasis on engineering quality and a supportive culture, makes this an ideal place for those looking to make a meaningful impact in the financial technology sector.
StudySmarter Expert Advice🤫
We think this is how you could land Big Data Architect
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We think you need these skills to ace Big Data Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Grid Dynamics
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
